Publications associées à Noyau (algèbre)

For the group of endo-permutation modules of a finite p-group, there is a surjective reduction homomorphism from a complete discrete valuation ring of characteristic 0 to its residue field of characteristic p. We prove that this reduction map always has a ...

2019

A kernel compression scheme for fractional differential equations

Jan Sickmann Hesthaven, Daniel Henri Baffet

The nonlocal nature of the fractional integral makes the numerical treatment of fractional dierential equations expensive in terms of computational eort and memory requirements. In this paper we propose a method to reduce these costs while controlling the ...

Society for Industrial and Applied Mathematics2017

Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds

Sylvain Calinon, Noémie Laure Gwendoline Jaquier

Simultaneous and proportional control of a prosthetic hand and wrist is still a controversial issue, although giant steps have lately been made in this direction. In this paper, we study the application of a novel machine learning method to the problem, wi ...

2017

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

In this paper, we consider the problem of sequentially optimizing a black-box function

f

based on noisy samples and bandit feedback. We assume that

f

is smooth in the sense of having a bounded norm in some reproducing kernel Hilbert space (RKHS), yield ...

2017

Autonomous Learning of Internal Dynamic Models for Reaching Tasks

Auke Ijspeert, Tadej Petric

The paper addresses the problem of learning internal task-specific dynamic models for a reaching task. Using task-specific dynamic models is crucial for achieving both high tracking accuracy and compliant behaviour, which improves safety concerns while wor ...

Springer-Verlag Berlin2016

Learning Structured Models for Segmentation of 2D and 3D Imagery

Pascal Fua, Graham Knott, Kevin Smith, Aurélien Lucchi, Carlos Joaquin Becker, Pablo Marquez Neila, Yunpeng Li

Efficient and accurate segmentation of cellular structures in microscopic data is an essential task in medical imaging. Many state-of-the-art approaches to image segmentation use structured models whose parameters must be carefully chosen for optimal perfo ...

Institute of Electrical and Electronics Engineers2015

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

In this paper, a new formulation in the time domain of the Cooray-Rubinstein expression is presented. This new formulation overcomes the problems related to the previous formulation: The Dirac pulse contained in the kernel of the previous formulation is ex ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications

Michaël Unser, Daniel Andreas Schmitter, Ricard Delgado Gonzalo

We present a new trigonometric basis function that is capable of perfectly reproducing circles, spheres and ellipsoids while at the same time being interpolatory. Such basis functions have the advantage that they allow to construct shapes through a sequenc ...

IEEE2015

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Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

In this paper, we consider the problem of sequentially optimizing a black-box function

f

based on noisy samples and bandit feedback. We assume that

f

is smooth in the sense of having a bounded norm in some reproducing kernel Hilbert space (RKHS), yield ...

2017

Noyau (algèbre)

On the lifting of the Dade group

Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

A kernel compression scheme for fractional differential equations

Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Every simple compact semiring is finite

Autonomous Learning of Internal Dynamic Models for Reaching Tasks

Learning Structured Models for Segmentation of 2D and 3D Imagery

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications

Graph Chatbot

Chattez avec Graph Search

Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds

Autonomous Learning of Internal Dynamic Models for Reaching Tasks

A kernel compression scheme for fractional differential equations

On the lifting of the Dade group

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Every simple compact semiring is finite

Learning Structured Models for Segmentation of 2D and 3D Imagery

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications